|Polygenic prediction of weight and obesity trajectories from birth to adulthood|
AV Khera, M Chaffin, KH Wade, S Zahid, J Brancale, R Xia, M Distefano, ...
Cell 177 (3), 587-596. e9, 2019
|Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern|
S Zahid, H Cochet, PM Boyle, EL Schwarz, KN Whyte, EJ Vigmond, ...
Cardiovascular research 110 (3), 443-454, 2016
|Computationally guided personalized targeted ablation of persistent atrial fibrillation|
PM Boyle, T Zghaib, S Zahid, RL Ali, D Deng, WH Franceschi, JB Hakim, ...
Nature biomedical engineering 3 (11), 870-879, 2019
|Virtual electrophysiological study of atrial fibrillation in fibrotic remodeling|
KS McDowell, S Zahid, F Vadakkumpadan, J Blauer, RS MacLeod, ...
PloS one 10 (2), e0117110, 2015
|Relationship between fibrosis detected on late gadolinium-enhanced cardiac magnetic resonance and re-entrant activity assessed with electrocardiographic imaging in human …|
H Cochet, R Dubois, S Yamashita, N Al Jefairi, B Berte, JM Sellal, ...
JACC: Clinical Electrophysiology 4 (1), 17-29, 2018
|Modelling methodology of atrial fibrosis affects rotor dynamics and electrograms|
CH Roney, JD Bayer, S Zahid, M Meo, PMJ Boyle, NA Trayanova, ...
EP Europace 18 (suppl_4), iv146-iv155, 2016
|Feasibility of using patient-specific models and the “minimum cut” algorithm to predict optimal ablation targets for left atrial flutter|
S Zahid, KN Whyte, EL Schwarz, RC Blake III, PM Boyle, J Chrispin, ...
Heart rhythm 13 (8), 1687-1698, 2016
|Association of left atrial local conduction velocity with late gadolinium enhancement on cardiac magnetic resonance in patients with atrial fibrillation|
K Fukumoto, M Habibi, EG Ipek, S Zahid, IM Khurram, SL Zimmerman, ...
Circulation: Arrhythmia and Electrophysiology 9 (3), e002897, 2016
|Sensitivity of reentrant driver localization to electrophysiological parameter variability in image-based computational models of persistent atrial fibrillation sustained by a …|
D Deng, MJ Murphy, JB Hakim, WH Franceschi, S Zahid, F Pashakhanloo, ...
Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (9), 093932, 2017
|Computational design of a collagen A: B: C-type heterotrimer|
F Xu, S Zahid, T Silva, V Nanda
Journal of the American Chemical Society 133 (39), 15260-15263, 2011
|Lack of regional association between atrial late gadolinium enhancement on cardiac magnetic resonance and atrial fibrillation rotors|
J Chrispin, EG Ipek, S Zahid, A Prakosa, M Habibi, D Spragg, JE Marine, ...
Heart rhythm 13 (3), 654-660, 2016
|Towards personalized computational modelling of the fibrotic substrate for atrial arrhythmia|
PM Boyle, S Zahid, NA Trayanova
EP Europace 18 (suppl_4), iv136-iv145, 2016
|Association of left atrial epicardial adipose tissue with electrogram bipolar voltage and fractionation: electrophysiologic substrates for atrial fibrillation|
T Zghaib, EG Ipek, S Zahid, MA Balouch, S Misra, H Ashikaga, RD Berger, ...
Heart Rhythm 13 (12), 2333-2339, 2016
|Exploring susceptibility to atrial and ventricular arrhythmias resulting from remodeling of the passive electrical properties in the heart: a simulation approach|
NA Trayanova, PM Boyle, HJ Arevalo, S Zahid
Frontiers in physiology 5, 435, 2014
|Arrhythmogenic propensity of the fibrotic substrate after atrial fibrillation ablation: a longitudinal study using magnetic resonance imaging-based atrial models|
RL Ali, JB Hakim, PM Boyle, S Zahid, B Sivasambu, JE Marine, H Calkins, ...
Cardiovascular research 115 (12), 1757-1765, 2019
|Comparing reentrant drivers predicted by image-based computational modeling and mapped by electrocardiographic imaging in persistent atrial fibrillation|
PM Boyle, JB Hakim, S Zahid, WH Franceschi, MJ Murphy, EJ Vigmond, ...
Frontiers in physiology 9, 414, 2018
|The fibrotic substrate in persistent atrial fibrillation patients: comparison between predictions from computational modeling and measurements from focal impulse and rotor mapping|
PM Boyle, JB Hakim, S Zahid, WH Franceschi, MJ Murphy, A Prakosa, ...
Frontiers in Physiology, 1151, 2018
|Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases|
SC Ritchie, SA Lambert, M Arnold, SM Teo, S Lim, P Scepanovic, ...
Nature metabolism 3 (11), 1476-1483, 2021
|Systems and methods for atrial fibrillation treatment and risk assessment|
NA Trayanova, PM Boyle, S Zahid
US Patent 10,687,898, 2020
|Systems and methods for patient-specific modeling of the heart for prediction of targets for catheter ablation of ventricular tachycardia in patients with implantable …|
NA Trayanova, A Prakosa, S Zahid
US Patent 10,363,100, 2019